151 citations · 297 across the 20 of their papers we have counts for
5 papers · 1 filter
High-resolution imaging on TPUs
Fantine Huot, Yi-Fan Chen, Robert Clapp +2
The rapid evolution of artificial intelligence (AI) is leading to a new generation of hardware accelerators optimized for deep learning. Some of the designs of these accelerators a…
Tensor Processing Units for Financial Monte Carlo
Francois Belletti, Davis King, Kun Yang +4
Monte Carlo methods are critical to many routines in quantitative finance such as derivatives pricing, hedging and risk metrics. Unfortunately, Monte Carlo methods are very computa…
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions
Francois Belletti, Karthik Lakshmanan, Walid Krichene +7
Recommender system research suffers from a disconnect between the size of academic data sets and the scale of industrial production systems. In order to bridge that gap, we propose…
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
Kun Yang, Yi-Fan Chen, Georgios Roumpos +2
Large-scale deep learning benefits from an emerging class of AI accelerators. Some of these accelerators' designs are general enough for compute-intensive applications beyond AI an…
Scalable Realistic Recommendation Datasets through Fractal Expansions
Francois Belletti, Karthik Lakshmanan, Walid Krichene +2
Recommender System research suffers currently from a disconnect between the size of academic data sets and the scale of industrial production systems. In order to bridge that gap w…